// Copyright (c) 2023 Huawei Technologies Co., Ltd
// Copyright (c) 2019, Facebook CORPORATION.
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/utils/OpAdapter.h"

namespace acl_op {
using npu_preparation = at_npu::native::OpPreparation;

at::Tensor isclose(
    const at::Tensor& self,
    const at::Tensor& other,
    double rtol,
    double atol,
    bool equal_nan)
{
    TORCH_CHECK(self.scalar_type() == other.scalar_type(), self.scalar_type(), " did not match ", other.scalar_type(),
        OPS_ERROR(ErrCode::TYPE));
    at::Tensor result = npu_preparation::apply_tensor_with_format(self.sizes(), self.options().dtype(at::kBool), ACL_FORMAT_ND);

    TORCH_NPU_WARN_ONCE("Device do not support double dtype of rtol and atol now, dtype cast repalce with float.");
    auto rtol1 = static_cast<float>(rtol);
    auto atol1 = static_cast<float>(atol);

    at_npu::native::OpCommand cmd;
    cmd.Name("IsClose")
        .Input(self)
        .Input(other)
        .Attr("rtol", rtol1)
        .Attr("atol", atol1)
        .Attr("equal_nan", equal_nan)
        .Output(result)
        .Run();

    return result;
}
} // namespace acl_op
